I will first tidy the data set. It is important to standardize some
of the values including, snow, tmax,
tmin, and prcp. I am using filter
to make my dataset smaller, so that the data can be more easily
processed by my computer without crashing.
smaller_noaa %>%
plot_ly(x=~year, y = ~snow_mm, color = ~year, type = "box", colors = "viridis")
smaller_noaa %>%
plot_ly(x = ~year, y = ~tmin, color = ~year, type = "bar", colors = "viridis")
smaller_noaa %>%
plot_ly(
x = ~year, y = ~prcp, type = "scatter", mode = "markers", alpha = 0.5)